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Chen Lin 0001
Person information
- affiliation: Xiamen University, School of Informatics, China
- affiliation: Xiamen University, School of Information Science and Technology, China
- affiliation (PhD 2010): Fudan University, Shanghai, China
Other persons with the same name
- Chen Lin — disambiguation page
- Chen Lin 0002 — Boston Children's Hospital, MA, USA (and 1 more)
- Chen Lin 0003 — SenseTime Research (and 1 more)
- Chen Lin 0004 — National Central University, Department of Biomedical Sciences and Engineering, Taoyuan, Taiwan
- Chen Lin 0005 — University of Hong Kong, Faculty of Business and Economics, Hong Kong
- Chen Lin 0006 — Huazhong University of Science and Technology, School of Cyber Science and Engineering, Wuhan, China
- Chen Lin 0007 — Transwarp Technology (Shanghai) Co., Ltd., China
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2020 – today
- 2024
- [j30]Yewang Chen, Weiyao Ye, Chen Lin, Yi Chen:
Unbiased news recommendation model combining time and content. Expert Syst. Appl. 256: 124864 (2024) - [j29]Yihang Zheng, Chen Lin, Xian Lyu, Xuanhe Zhou, Guoliang Li, Tianqing Wang:
Robustness of Updatable Learning-based Index Advisors against Poisoning Attack. Proc. ACM Manag. Data 2(1): V2mod010:1-V2mod010:26 (2024) - [j28]Zijia Wang, Haoran Liu, Chen Lin, Zhifeng Bao, Guoliang Li, Tianqing Wang:
Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors. Proc. VLDB Endow. 17(7): 1642-1654 (2024) - [j27]Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li:
Breaking It Down: An In-depth Study of Index Advisors. Proc. VLDB Endow. 17(10): 2405-2418 (2024) - [j26]Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li:
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1305-1319 (2024) - [c60]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. ACL (Findings) 2024: 13526-13544 - [c59]Jiashuo Sun, Hang Zhang, Chen Lin, Xiangdong Su, Yeyun Gong, Jian Guo:
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. LREC/COLING 2024: 1370-1382 - [c58]Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li, Tianqing Wang:
TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation. ICDE 2024: 42-55 - [c57]Qiwen Wang, Chen Lin, Wei Su, Liang Xiao, Xiangxiang Zeng:
Compound-Protein Interaction Prediction with Sparse Perturbation-Aware Attention. ICIC (LNBI 2) 2024: 72-83 - [c56]Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo:
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph. ICLR 2024 - [c55]Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin:
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. KDD 2024: 3645-3656 - [c54]Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen:
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. NAACL (Industry Track) 2024: 165-190 - [c53]Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong:
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. NAACL-HLT 2024: 1152-1197 - [c52]Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan:
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. NAACL-HLT (Findings) 2024: 4074-4101 - [c51]Yang Li, Qi'ao Zhao, Chen Lin, Jinsong Su, Zhilin Zhang:
Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation Systems. SIGIR 2024: 667-676 - [i19]Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong:
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. CoRR abs/2403.11838 (2024) - [i18]Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen:
Rho-1: Not All Tokens Are What You Need. CoRR abs/2404.07965 (2024) - [i17]Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin:
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. CoRR abs/2406.12501 (2024) - [i16]Yihang Zheng, Bo Li, Zhenghao Lin, Yi Luo, Xuanhe Zhou, Chen Lin, Jinsong Su, Guoliang Li, Shifu Li:
Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation. CoRR abs/2409.04475 (2024) - 2023
- [j25]Yuxiang Cai, Xin Jiang, Yang Li, Xiangyu He, Chen Lin:
Resolving Power Equipment Data Inconsistency via Heterogeneous Network Alignment. IEEE Access 11: 23980-23988 (2023) - [j24]Xiaoqing Ru, Quan Zou, Chen Lin:
Optimization of drug-target affinity prediction methods through feature processing schemes. Bioinform. 39(11) (2023) - [j23]Ante Wang, Linfeng Song, Lifeng Jin, Junfeng Yao, Haitao Mi, Chen Lin, Jinsong Su, Dong Yu:
D$^{2}$PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 4004-4013 (2023) - [c50]Zijia Wang, Xiangyu He, Kehan Chen, Chen Lin, Jinsong Su:
Code-Aware Cross-Program Transfer Hyperparameter Optimization. AAAI 2023: 10297-10305 - [c49]Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. CIKM 2023: 514-523 - [c48]Yewang Chen, Weiyao Ye, Guipeng Xv, Chen Lin, Xiaomin Zhu:
TCCM: Time and Content-Aware Causal Model for Unbiased News Recommendation. CIKM 2023: 3778-3782 - [c47]Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li, Tianqing Wang:
Demonstration of ViTA: Visualizing, Testing and Analyzing Index Advisors. CIKM 2023: 5133-5137 - [c46]Yuxiang Cai, Xin Jiang, Qifan Yang, Wenhao Zhao, Chen Lin:
A Blockchain-Based Network Alignment System for Power Equipment Data Inconsistency. ICIC (1) 2023: 616-627 - [c45]Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen:
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise. ICML 2023: 21051-21064 - [c44]Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
E-commerce Search via Content Collaborative Graph Neural Network. KDD 2023: 2885-2897 - [c43]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. WWW 2023: 3299-3308 - [i15]Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen:
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. CoRR abs/2303.16854 (2023) - [i14]Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan:
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. CoRR abs/2304.11657 (2023) - [i13]Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo:
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. CoRR abs/2307.07697 (2023) - [i12]Yang Li, Qi'ao Zhao, Chen Lin, Zhenjie Zhang, Xiaomin Zhu:
GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training. CoRR abs/2311.13121 (2023) - [i11]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. CoRR abs/2312.02143 (2023) - 2022
- [j22]Zhenhua Huang, Shunzhi Yang, MengChu Zhou, Zheng Gong, Abdullah Abusorrah, Chen Lin, Zheng Huang:
Making accurate object detection at the edge: review and new approach. Artif. Intell. Rev. 55(3): 2245-2274 (2022) - [j21]Mengting Niu, Ying Ju, Chen Lin, Quan Zou:
Characterizing viral circRNAs and their application in identifying circRNAs in viruses. Briefings Bioinform. 23(1) (2022) - [j20]Jiacheng Wang, Quan Zou, Chen Lin:
A comparison of deep learning-based pre-processing and clustering approaches for single-cell RNA sequencing data. Briefings Bioinform. 23(1) (2022) - [j19]Juan Ni, Zhenhua Huang, Yang Hu, Chen Lin:
A two-stage embedding model for recommendation with multimodal auxiliary information. Inf. Sci. 582: 22-37 (2022) - [j18]Mengting Niu, Quan Zou, Chen Lin:
CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach. PLoS Comput. Biol. 18(1) (2022) - [j17]Chen Lin, Dugang Liu, Hanghang Tong, Yanghua Xiao:
Spiral of Silence and Its Application in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(6): 2934-2947 (2022) - [j16]Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, Bingchuan Jiang:
SPEX: A Generic Framework for Enhancing Neural Social Recommendation. ACM Trans. Inf. Syst. 40(2): 37:1-37:33 (2022) - [j15]Zhenhua Huang, Yajun Liu, Choujun Zhan, Chen Lin, Weiwei Cai, Yunwen Chen:
A Novel Group Recommendation Model With Two-Stage Deep Learning. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5853-5864 (2022) - [c42]Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. CIKM 2022: 4615-4619 - [c41]Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang:
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. CIKM 2022: 4620-4624 - [c40]Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan:
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. EMNLP 2022: 4984-4994 - [c39]Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, Guoliang Li:
Adaptive Code Learning for Spark Configuration Tuning. ICDE 2022: 1995-2007 - [c38]Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng:
Pretraining Representations of Multi-modal Multi-query E-commerce Search. KDD 2022: 3429-3437 - [c37]Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li, Chen Lin, Qihang Sun, Shaofeng Hu:
Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction. MDM 2022: 238-245 - [c36]Zequan Xu, Qihang Sun, Shaofeng Hu, Jiguang Qiu, Chen Lin, Hui Li:
Multi-view Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection. PRICAI (1) 2022: 148-160 - [c35]Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye, Yewang Chen:
Neutralizing Popularity Bias in Recommendation Models. SIGIR 2022: 2623-2628 - [i10]Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. CoRR abs/2205.04168 (2022) - [i9]Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li:
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles. CoRR abs/2206.11433 (2022) - [i8]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. CoRR abs/2209.13335 (2022) - [i7]Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan:
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. CoRR abs/2210.09803 (2022) - [i6]Jiashuo Sun, Hang Zhang, Chen Lin, Yeyun Gong, Jian Guo, Nan Duan:
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. CoRR abs/2212.07249 (2022) - [i5]Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan:
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model. CoRR abs/2212.11685 (2022) - 2021
- [j14]Zilong Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang, Quan Zou:
Critical downstream analysis steps for single-cell RNA sequencing data. Briefings Bioinform. 22(5) (2021) - [j13]Chao Wang, Ying Ju, Quan Zou, Chen Lin:
DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA. Bioinform. 38(1): 52-57 (2021) - [j12]Yun Liang, Jian Zhang, Mei-hua Wang, Chen Lin, Jun Xiao:
Multi-features guided robust visual tracking. Multim. Tools Appl. 80(11): 16367-16395 (2021) - [j11]Chen Lin, Zhichao Ouyang, Xiaoli Wang, Hui Li, Zhenhua Huang:
Preserve Integrity in Realtime Event Summarization. ACM Trans. Knowl. Discov. Data 15(3): 49:1-49:29 (2021) - [c34]Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu:
Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting. ICPC 2021: 184-195 - [c33]Yunsen Hong, Hui Li, Yanghua Xiao, Ryan McBride, Chen Lin:
SILVER: Generating Persuasive Chinese Product Pitch. PAKDD (2) 2021: 652-663 - [c32]Chen Lin, Xinyi Liu, Guipeng Xv, Hui Li:
Mitigating Sentiment Bias for Recommender Systems. SIGIR 2021: 31-40 - [c31]Si Chen, Yuqiu Qian, Hui Li, Chen Lin:
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels. SSTD 2021: 130-140 - [c30]Shuai Fan, Chen Lin, Hui Li, Quan Zou:
News Popularity Prediction with Local-Global Long-Short-Term Embedding. WISE (2) 2021: 79-93 - [i4]Si Chen, Yuqiu Qian, Hui Li, Chen Lin:
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels. CoRR abs/2102.06950 (2021) - [i3]Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li, Rongxin Wu:
Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting. CoRR abs/2103.07845 (2021) - 2020
- [j10]Yuyou Weng, Xinyi Liu, Hui Li, Chen Lin, Yun Liang:
Drug target interaction prediction via multi-task co-attention. Int. J. Data Min. Bioinform. 24(2): 160-176 (2020) - [c29]Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang:
Attacking Recommender Systems with Augmented User Profiles. CIKM 2020: 855-864 - [c28]Yunsen Hong, Hui Li, Xiaoli Wang, Chen Lin:
DEAMER: A Deep Exposure-Aware Multimodal Content-Based Recommendation System. DASFAA (3) 2020: 621-637 - [c27]Anup K. Kalia, Jin Xiao, Chen Lin, Saurabh Sinha, John J. Rofrano, Maja Vukovic, Debasish Banerjee:
Mono2Micro: an AI-based toolchain for evolving monolithic enterprise applications to a microservice architecture. ESEC/SIGSOFT FSE 2020: 1606-1610 - [i2]Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang:
Attacking Recommender Systems with Augmented User Profiles. CoRR abs/2005.08164 (2020)
2010 – 2019
- 2019
- [j9]Yuan Lin, Yinyin Cai, Juan Liu, Chen Lin, Xiangrong Liu:
An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies. BMC Bioinform. 20-S(8): 291:1-291:10 (2019) - [j8]Yun Liang, Ke Li, Jian Zhang, Meihua Wang, Chen Lin:
Robust visual tracking via identifying multi-scale patches. Multim. Tools Appl. 78(11): 14195-14230 (2019) - [c26]Chen Lin, Xiaolin Shen, Si Chen, Muhua Zhu, Yanghua Xiao:
Non-Compensatory Psychological Models for Recommender Systems. AAAI 2019: 4304-4311 - [c25]Yuyou Weng, Chen Lin, Xiangxiang Zeng, Yun Liang:
Drug Target Interaction Prediction using Multi-task Learning and Co-attention. BIBM 2019: 528-533 - [c24]Yunjie Wang, Hui Li, Chen Lin:
Modeling Sentiment Evolution for Social Incidents. CIKM 2019: 2413-2416 - [c23]Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong:
Spiral of Silence in Recommender Systems. WSDM 2019: 222-230 - [i1]Wenqiang Chen, Lizhang Zhan, Yuanlong Ci, Chen Lin:
FLEN: Leveraging Field for Scalable CTR Prediction. CoRR abs/1911.04690 (2019) - 2018
- [j7]Xiangxiang Zeng, Jiawei Lin, Chen Lin, Xiangrong Liu, Alfonso Rodríguez-Patón:
Structural Hole Spanner in HumanNet Identifies Disease Gene and Drug targets. IEEE Access 6: 35392-35401 (2018) - [j6]Dugang Liu, Jie Huang, Chen Lin:
Recommendation With Social Roles. IEEE Access 6: 36420-36427 (2018) - [c22]Sheng Ni, Chen Lin, Xiangxiang Zeng, Yun Liang:
Drug Target Interaction Prediction with Non-random Missing Labels. BIBM 2018: 496-501 - [c21]Zhilin Zhang, Ke Wang, Chen Lin, Weipeng Lin:
Secure Top-k Inner Product Retrieval. CIKM 2018: 77-86 - [c20]Lingting Lin, Chen Lin, Yongxuan Lai:
Realtime Event Summarization from Tweets with Inconsistency Detection. ER 2018: 555-570 - [c19]Chen Lin, Anup K. Kalia, Jin Xiao, Maja Vukovic, Nikos Anerousis:
NL2API: A Framework for Bootstrapping Service Recommendation Using Natural Language Queries. ICWS 2018: 235-242 - [c18]Chen Lin, Zhouyingcheng Liao, Peng Zhou, Jianguo Hu, Bingbing Ni:
Live Face Verification with Multiple Instantialized Local Homographic Parameterization. IJCAI 2018: 814-820 - 2017
- [c17]Zepeng Fang, Chen Lin, Yun Liang:
A Formal Product Search Model with Ensembled Proximity. APWeb/WAIM (1) 2017: 565-572 - 2015
- [c16]Yaoliang Chen, Jingjing Wang, Hongwei Wang, Sheng Huang, Chen Lin:
COSS: Content-Based Subscription as an IoT Service. ICWS 2015: 369-376 - [c15]Xinjun Guan, Ying Yang, Xinru Yang, Chen Lin:
Dirichlet Process Mixture Model for Summarizing the Social Web. SMP 2015: 83-94 - 2014
- [j5]Chen Lin, Wenqiang Chen, Cheng Qiu, Yunfeng Wu, Sridhar Krishnan, Quan Zou:
LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy. Neurocomputing 123: 424-435 (2014) - [j4]Chen Lin, Runquan Xie, Xinjun Guan, Lei Li, Tao Li:
Personalized news recommendation via implicit social experts. Inf. Sci. 254: 1-18 (2014) - [j3]Runquan Xie, Feida Zhu, Hui Ma, Wei Xie, Chen Lin:
CLEar: A Real-time Online Observatory for Bursty and Viral Events. Proc. VLDB Endow. 7(13): 1637-1640 (2014) - [c14]Chen Lin, Haiyang Yu, Wei Weng, Xianmang He:
Large-Scale Similarity Join with Edit-Distance Constraints. DASFAA (2) 2014: 328-342 - 2013
- [j2]Chen Lin, Chun Lin, Ziyu Lin, Quan Zou:
Hybrid pseudo-relevance feedback for microblog retrieval. J. Inf. Sci. 39(6): 773-788 (2013) - [c13]Wei Wang, Zeng-li Liu, Chen Lin, Weiwei Sha:
Harmonic Detection of Power System Based on SVD and EMD. CIS 2013: 185-189 - 2012
- [j1]Chen Lin, Zhenhua Huang, Fan Yang, Quan Zou:
Identify content quality in online social networks. IET Commun. 6(12): 1618-1624 (2012) - [c12]Ziyu Lin, Dongzhan Zhang, Chen Lin, Yongxuan Lai, Quan Zou:
Performance Optimization of Analysis Rules in Real-Time Active Data Warehouses. APWeb 2012: 669-676 - [c11]Chen Lin, Chun Lin, Jingxuan Li, Dingding Wang, Yang Chen, Tao Li:
Generating event storylines from microblogs. CIKM 2012: 175-184 - [c10]Chen Lin, Runquan Xie, Lei Li, Zhenhua Huang, Tao Li:
PRemiSE: personalized news recommendation via implicit social experts. CIKM 2012: 1607-1611 - [c9]Hongyu Li, Chen Lin, Junyu Niu, Lin Zhang, Jussi Parkkinen:
Manifold Analysis of Spectral Munsell Colors. ICONIP (1) 2012: 543-550 - 2011
- [c8]Ziyu Lin, Yongxuan Lai, Chen Lin, Yi Xie, Quan Zou:
Maintaining Internal Consistency of Report for Real-Time OLAP with Layer-Based View. APWeb 2011: 143-154
2000 – 2009
- 2009
- [c7]Chen Lin, Jiang-Ming Yang, Rui Cai, Xin-Jing Wang, Wei Wang, Lei Zhang:
Simultaneously modeling semantics and structure of threaded discussions: a sparse coding approach and its applications. SIGIR 2009: 131-138 - [c6]Chen Lin:
An Adaptive Genetic Algorithm Based on Population Diversity Strategy. WGEC 2009: 93-96 - [c5]Chen Lin, Jiang-Ming Yang, Rui Cai, Xin-Jing Wang, Wei Wang, Lei Zhang:
Modeling semantics and structure of discussion threads. WWW 2009: 1103-1104 - 2008
- [c4]Chen Lin, Haofeng Zhou, Zhenhua Huang, Wei Wang:
REC: A Novel Model to Rank Experts in Communities. WAIM 2008: 301-308 - 2006
- [c3]Chen Lin, Junyu Niu:
Judging Expertise--WIM at Enterprise. TREC 2006 - [c2]Haiqing Zheng, Chen Lin, Lishen Huang, Jun Xu, Jiaqian Zheng, Qi Sun, Junyu Niu:
Using Profile Matching and Text Categorization for Answer Extraction in TREC Genomics. TREC 2006 - 2005
- [c1]Junyu Niu, Lin Sun, Luqun Lou, Fang Deng, Chen Lin, Haiqing Zheng, Xuanjing Huang:
WIM at TREC 2005. TREC 2005